What We Do
We build on the strength of our research and development expertise and a distinctive, entrepreneurial culture that encourages diversity, innovation, creativity, sustainability, and, simply, fun. Since inception, our mission has been to find a cure for pulmonary arterial hypertension and other life-threatening diseases. Toward this goal we have successfully gained FDA approval for five medicines, we are always conducting new clinical trials, and we are working to create an unlimited supply of manufactured organs for transplantation.
We are the first publicly-traded biotech or pharmaceutical company to take the form of a public benefit corporation (PBC). Our public benefit purpose is to provide a brighter future for patients through (a) the development of novel pharmaceutical therapies; and (b) technologies that expand the availability of transplantable organs. At the same time, we seek to provide our shareholders with superior financial performance and our communities with earth-sensitive energy utilization.
We currently have five approved products on the market and a long-term mission of providing an unlimited supply of transplantable organs for those who need them.
Our company was founded by an entrepreneur whose daughter was diagnosed with a life-threatening condition. She sought to find treatment options and a cure for her daughter and patients like her. We are founder-led, and relentless in our pursuit of “medicines for life”. We continue to research and develop treatments for cardiovascular and pulmonary diseases, and other orphan diseases.
How you’ll contribute
The Computational Lab for In Silico Molecular Biology is building a computational model of the lung to enable in silico design and testing of therapies for lung disease. As part of this effort to develop an integrative multiscale lung model, the computational biologist will apply various mechanistic modeling techniques to simulate molecular and cellular processes related to lung physiology and pharmacology. This is an onsite position 4 days/week in the Silver Spring, MD office, with the option to work from home 1 day/week.
Develop mathematical models of molecular and cellular processes in the lung, including but not limited to regulation of vasoconstriction and bronchoconstriction, response to hypoxia, toxicity to airways/alveoli, and initiation/resolution of inflammation and fibrosis
Conduct research into approaches for mechanistic modeling of biological processes and determine suitability for specific applications
Integrate diverse data sources, such as in vitro cell culture, immunoassays, clinical measurement, and/or large-scale genomic and transcriptomic assays, into model development and calibration workflows
Implement procedures for model qualification to evaluate impact of uncertainty and variability on model output
Collaborate with other computational biologists and engineers to integrate models into large multiscale models spanning processes from organ to molecular level
Partner with internal and external labs to generate experimental data for model training/validation
Communicate results effectively through interactive visualizations, presentations at internal and external meetings, and peer-reviewed publications
Perform other duties as assigned
For this role you will need
Minimum Requirements
Master’s degree (MA/MS/MBA) in biomedical engineering, computational biology, or related field of study, and 6+ years of industry experience developing computational models of biological systems with a Master's degree OR Doctor of Philosophy (PhD) in biomedical engineering, computational biology, or related field of study, and 2+ years of industry experience developing computational models of biological systems with a PhD. (Combination of PhD work and/or postdoctoral experience at a pharmaceutical/biotech company is acceptable.)
Expertise in one or more modeling formalisms for systems biology (e.g. differential equation, logic-based, or agent-based models)
Familiarity with quantitative systems pharmacology and other applications of modeling and simulation within pharmaceutical drug discovery and development
Expertise in numerical methods relevant to modeling and simulation, including solving systems of ordinary and/or partial differential equations, optimization, Monte Carlo methods
Fluency in one or more scientific programming languages (e.g. Python, R, Julia, and/or MATLAB)
Knowledge of molecular and cellular biology and drug development
Ability to communicate effectively with both technical and non-technical audiences as demonstrated by record of presentations and publications
Preferred Qualifications
Ability to process and analyze large-scale genomic and transcriptomic datasets
Strong data visualization skills, including interactive visualization (e.g. R Shiny or d3.js)
Skilled in statistical and machine learning methods
Knowledge of pulmonary physiology
At United Therapeutics, you’ll realize quickly that it is not an ordinary place to work! When you join our company, you will learn, grow, contribute, have fun, and be challenged... all while making a difference in the lives of our patients.
#LI-Hybrid
While United Therapeutics does not require vaccination for Covid-19 at this time, we strongly encourage all employees and visitors to remain up to date on vaccinations and boosters to protect one another from illness. Employees working in customer-facing roles must adhere and comply with customers’ credentialing guidelines, which may require vaccination against Covid -19, the influenza virus, and other illnesses that could be harmful to healthcare staff and patients.
United Therapeutics Corporation is an Equal Opportunity/Affirmative Action Employer - EOE Minorities / Females / Protected Veterans / Individuals with Disabilities
For this role you will need
Minimum Requirements
Master’s degree (MA/MS/MBA) in biomedical engineering, computational biology, or related field of study, and 6+ years of industry experience developing computational models of biological systems with a Master's degree OR Doctor of Philosophy (PhD) in biomedical engineering, computational biology, or related field of study, and 2+ years of industry experience developing computational models of biological systems with a PhD. (Combination of PhD work and/or postdoctoral experience at a pharmaceutical/biotech company is acceptable.)
Expertise in one or more modeling formalisms for systems biology (e.g. differential equation, logic-based, or agent-based models)
Familiarity with quantitative systems pharmacology and other applications of modeling and simulation within pharmaceutical drug discovery and development
Expertise in numerical methods relevant to modeling and simulation, including solving systems of ordinary and/or partial differential equations, optimization, Monte Carlo methods
Fluency in one or more scientific programming languages (e.g. Python, R, Julia, and/or MATLAB)
Knowledge of molecular and cellular biology and drug development
Ability to communicate effectively with both technical and non-technical audiences as demonstrated by record of presentations and publications
Preferred Qualifications
Ability to process and analyze large-scale genomic and transcriptomic datasets
Strong data visualization skills, including interactive visualization (e.g. R Shiny or d3.js)
Skilled in statistical and machine learning methods
Knowledge of pulmonary physiology
Company website